基于随机概率密度演化的结构-TMD参数优化

Structure-TMD Parameters Optimization Based on the Stochastic Probability Density Evolution

基于地震载荷随机性的事实,以及传统的采用特定地震波研究结构控制条件具有严重缺陷的问题,本文提出以结构最大层间位移作为控制指标,基于概率密度演化理论,采用改进遗传算法对TMD参数进行优化的设计方法.该方法结合改进遗传算法以及概率密度演化方法,充分考虑了随机性对结构影响的本质,根据随机载荷下结构-TMD控制体系中结构层间位移响应和动力可靠度的前后对比,说明优化方法的优越性.以三层剪切型混凝土框架结构-TMD参数优化为例,验证所提方法的正确性,为随机激励下的多自由度结构-TMD系统优化设计提供了一条新的解决途径.

Considering the randomness of seismic loads and the serious defects brought by the adoption of some particular seismic wave excitation in the structural control simulation,the maximum inter-layer displacement was chosen as the control index and based on the probability density evolution theory,a modified genetic algorithm was proposed to optimize TMD parameters.In the developed method,the improved genetic algorithm was combined with the probability density evolution method,and the nature of the effect of randomness on the structure was taken into full consideration.The superiority of the optimization method was illustrated by the comparison between the inter layer displacement response and the dynamic reliability under random loads of the original and optimized structure-TMD systems.A three-layer shear concrete frame structure with TMD system was given as an example to verify the correctness of the proposed method,whichprovides a new way for the optimal design of the structure-TMD systems under stochastic excitation.